Using support vector machine to predict beta- and gamma-turns in proteins.
Xiuzhen HuQianzhong LiPublished in: J. Comput. Chem. (2008)
Keyphrases
- support vector machine
- subcellular localization
- predicting protein
- svm classifier
- support vector
- protein protein interactions
- multi class
- support vector machine svm
- protein secondary structure
- protein sequences
- stock market prediction
- training data
- protein structure
- decision forest
- decision boundary
- high classification accuracy
- classification method
- neural network
- sequence similarity
- data sets
- beta distribution
- amino acid sequences
- small sample
- radial basis function
- image classification
- knn
- feature vectors
- training set
- learning algorithm
- data mining